Qwen3.5-397B-A17B vs DeepSeek-V3.2-Speciale Comparison
Comparing Qwen3.5-397B-A17B and DeepSeek-V3.2-Speciale across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 4 benchmarks (SWE-Bench Verified, t2-bench, Terminal-Bench 2.0, Toolathlon), while DeepSeek-V3.2-Speciale is better at 2 benchmarks (HMMT 2025, Humanity's Last Exam).
Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 2.1x more expensive than DeepSeek-V3.2-Speciale ($0.28/1M tokens).
For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 8.6x more expensive than DeepSeek-V3.2-Speciale ($0.42/1M tokens).
In conclusion, Qwen3.5-397B-A17B is more expensive than DeepSeek-V3.2-Speciale.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2-Speciale has 288.0B more parameters than Qwen3.5-397B-A17B, making it 72.5% larger.
Context Window
Maximum input and output token capacity
Qwen3.5-397B-A17B accepts 262,144 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.5-397B-A17B supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.
Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.5-397B-A17B
DeepSeek-V3.2-Speciale
License
Usage and distribution terms
Qwen3.5-397B-A17B is licensed under Apache 2.0, while DeepSeek-V3.2-Speciale uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Qwen3.5-397B-A17B was released on 2026-02-16, while DeepSeek-V3.2-Speciale was released on 2025-12-01.
Qwen3.5-397B-A17B is 3 months newer than DeepSeek-V3.2-Speciale.
Feb 16, 2026
4 weeks ago
2mo newerDec 1, 2025
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.5-397B-A17B is available from Novita. DeepSeek-V3.2-Speciale is available from DeepSeek. The availability of providers can affect quality of the model and reliability.
Qwen3.5-397B-A17B
DeepSeek-V3.2-Speciale
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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